Awesome CUDA Books – Curated List of CUDA Resources
Use the curated CUDA book list to deepen GPU programming knowledge for your projects.
Add the most relevant CUDA books to your team's reading list and schedule training sessions.
Summary
This curated list compiles every major book on CUDA programming from beginner to advanced, covering C++, Python, architecture, optimization, and the latest 2024–2026 releases. The collection includes classic titles such as "CUDA by Example" (2010) and "Programming in Parallel with CUDA" (2022), as well as newer works like "CUDA for Deep Learning" (2025) and "CUDA C++ Optimization" (2024). Each entry provides authors, publication year, and a concise description, ensuring developers can quickly find resources that match their skill level. The list also highlights the official CUDA C++ Programming Guide (v13.x, 2026) as a free reference to pair with the books.
The article emphasizes that CUDA changes rapidly, so pairing books with the latest official guide is essential for staying current. It encourages readers to contribute new high‑quality titles and to focus on books published after 2018 to maintain relevance.
By offering a comprehensive bibliography, the list serves as a go‑to reference for developers looking to deepen their GPU programming expertise and keep pace with evolving CUDA features.
Key changes
- Includes 2025 CUDA for Deep Learning by Arledge
- Includes 2024 GPU Programming with C++ and CUDA by Motta
- Includes 2024 CUDA C++ Optimization by Spuler
- Includes 2024 CUDA C++ Debugging by Spuler
- Includes 2022 Programming in Parallel with CUDA by Ansorge
- Highlights 2026 CUDA C++ Programming Guide (v13.x)
- Provides benchmark for CUDA 12.6